Statistical issues in survival analysis (Part X)
July 5, 2023 The restricted mean survival time (RMST) is a concept that has been invented in survival analysis as an alternative to the hazards ratio, which can be difficult to interpret and also, as derived from Cox model, can have difficulty fitting into the...
Statistical issues in survival analysis (Part IX)
June 21, 2023 Quantile regression has been around for awhile but has not been used so extensivly in survival analysis, namely for comparisons at the population level. The authors, Williamson et al, proposed analyzing relative survival data using quantile regression...
Statistical issues in survival analysis (Part VIII)
June 7, 2023 The authors reviewed methods for complex survival data in terms of frailty models, like the recent advances and R packages. They explored areas of clustered outcomes, competing risks, illness-death model. They did admit their review did not cover two...
Statistical issues in survival analysis (Part VII)
May 24, 2023 The authors developed a semiparametric maximum likelihood estimation procedure via a kernel smoothed-aided expectation-maximization algorithm. The variances for this were estimated through weighted bootstrap. The authors focused on this for the...
Statistical issues in survival analysis (Part VI)
May 10, 2023 The authors Sun et al present a semi-competing risks framework using a flexible two-parameter copula-based semiparametric transformation model with interval censoring and left truncation. The semi-parametric transformation model allow both proportional...
Issues in COVID-19 research and statistical analyses (Part XVVXVVVIII)
April 26, 2023 In a recent article that appeared in Statistics in Medicine, Arntzen et al discussed that quarantine time length for persons infected with SARS-CoV-2 was based on incubation time distribution estimates. However, given the unknowns about time to...
Statistical issues in survival analysis (Part V)
April 12, 2023 The authors, Ozaki and Ninomiya have presented how information criteria, like AIC, can be adapted when detecting change points in a Cox proportional hazards regression. The authors motivated the use of change-points due to onset of efficacy being...
Statistical issues in general (Part I)
Statistical issues in general (Part I) March 27, 2023 In an article that first appeared in 2021 in Biometrics but is now finally open access in the same journal , the authors, Moss and Bin discuss how publication bias and p-hacking have had strong effects on...
Issues in COVID-19 research and statistical analyses (Part XVVXVVVII)
March 15, 2023 In a recent article that appeared in Science News, a teach from Johns Hopkins University discussed their proof of concept study to show how their machine learning system used electronic health data to make predictions to determine who would be most...
Statistical issues in survival analysis (Part IV)
February 28, 2023 The author, Olivier Bouaziz, developed a new method to calculate pseudo-observations for the survival function and also the restricted mean survival time (RMST) that used formulas which were based on the original estimators and not on the...